Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 1.4 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RYBAKOV Alexander | 65 |
| 6 | BOUGLAS Georgios | 71 |
| 7 | KOSTYUK Denys | 66 |
| 9 | BRONIŠ Roman | 74 |
| 11 | ZUBOV Matvey | 72 |
| 15 | SOLOMENNIKOV Andrei | 72 |
| 18 | KATYRIN Roman | 65 |
| 26 | TYBOR Patrik | 72 |
| 27 | ERSHOV Artur | 70 |
| 32 | SAMOILAU Branislau | 77 |
| 40 | JURČO Matej | 69 |
| 42 | MIRONOV Alexander | 68 |
| 44 | SHEMETAU Mikhail | 79 |